IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v101y2025ics1059056025003090.html
   My bibliography  Save this article

Digital rural construction, financial development and regional economic resilience: Mechanism analysis and empirical test

Author

Listed:
  • Sun, Yuran
  • Chen, Canping

Abstract

Digital countryside is the strategic direction of rural revitalization, and it is also a new driving force to promote the resilience of county economy. Based on the panel data of counties from 2013 to 2022, this paper constructs an index of regional economic resilience by using entropy weight method, and establishes an econometric model. From the perspective of financial development, this paper discusses the impact of digital rural construction on regional economic resilience, and further analyzes the regional heterogeneity of the effect. The conclusions are as follows: (1) The construction of digital countryside can significantly improve the resilience of county economy, and the impact is still stable after a series of tests; (2) Digital village construction can improve the resilience of county economy by promoting the level of regional financial development; (3) The impact of the construction of digital countryside on the resilience of county economy is characterized by regional heterogeneity, and has different impacts on the eastern, central and western regions and regions with different administrative levels. Based on this, the paper puts forward policy suggestions in three aspects: strengthening the construction of rural digital infrastructure, deepening the structural reform of the financial supply side, and implementing differentiated policy promotion mechanisms, providing policy inspiration for promoting the resilience of regional economy.

Suggested Citation

  • Sun, Yuran & Chen, Canping, 2025. "Digital rural construction, financial development and regional economic resilience: Mechanism analysis and empirical test," International Review of Economics & Finance, Elsevier, vol. 101(C).
  • Handle: RePEc:eee:reveco:v:101:y:2025:i:c:s1059056025003090
    DOI: 10.1016/j.iref.2025.104146
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056025003090
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2025.104146?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reveco:v:101:y:2025:i:c:s1059056025003090. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.